Resource Storage Management Model for Ensuring Quality of Service in the Cloud Archive Systems
DOI:
https://doi.org/10.7494/csci.2014.15.1.3Keywords:
storage, backup, cloud, management, QoS, SLAAbstract
Nowadays, service providers offer a lot of IT services in the public or private cloud. The client can buy various kinds of services like SaaS, PaaS, etc. Recently there was introduced Backup as a Service (BaaS) as a variety of SaaS. At the moment there are available several different BaaSes for archiving the data in the cloud, but they provide only a basic level of service quality. In the paper we propose a model which ensures QoS for BaaS and some methods for management of storage resources aimed at achieving the required SLA. This model introduces a set of parameters responsible for SLA level which can be offered on the basic or higher level of quality. The storage systems (typically HSM), which are distributed between several Data Centres, are built based on disk arrays, VTLs, and tape libraries. The RSMM model does not assume bandwidth reservation or control, but is rather focused on the management of storage resources.
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R. Słota, D. Nikolow, S. Polak, M. Kuta, M. Kapanowski, K. Skałkowski, M. Pogoda and J. Kitowski, Prediction and Load Balancing System for Distributed Storage, Scalable Computing Practice and Experience, Special Issue: Grid and Cloud Computing and their Application 11 (2) (2010) 121-130, ISSN 1895-1767.
R. Słota, D. Nikolow, M. Kuta, M. Kapanowski, K. Skałkowski, M. Pogoda, and J. Kitowski, Replica Management for National Data Storage, in: R. Wyrzykowski, J. Dongarra, K. Karczewski, J. Wasniewski (Eds.), Proceedings of Parallel Processing and Applied Mathematics - PPAM 2009, 8th International Conference, Wroclaw, Poland, September 2009, LNCS 6068, vol. II, Springer 2010, pp. 184-193.
Hey, T., Trefethen, A.E.: Cyberinfrastructure for e-Science. Science 308(5723), 817–821 (2005)
T. Hey, S. Tansly, and K. Tolle, editors. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, October 2009
P. Mell and T. Grance. Effectively and securely using the cloud computing paradigm. National Institute of Standards and Technology. October 7, 2009.
Kryza, B., Krol, D., Wrzeszcz, M., Dutka, L., Kitowski, J., Interactive Cloud Data Farming Environment For Military Mission Planning Support, in: Computer Science Annual of AGH-UST, AGH Press, Krakow,
Brandstein A., Horne G.: Data farming: A meta-technique for research in the 21st century. In Maneuver Warfare Science 1998. Marine Corps Combat Development Command Publication, 1998.
Choo C.S., Ng E.C., Ang C.K., Chua C.L.: Systematic data farming – an application to a military scenario. In Proceedings of Army Science Conference, 2006
Forsyth A., Horne G., Upton S.: Marine corps applicatons of data farming. In Kuhl M.E., Steiger N.M., Armstrong F.B., Joines J.A., editors, Proceedings of the 2005 Winter Simulation Conference, pp. 1077–1081, 2005.
Horne G., Meyer T.: Data farming: Discovering surprise. In Ingalls R.G., Rossetti M.D., Smith J.S., Peters B.A., editors, Proceedings of the 2004 Winter Simulation Conference, pp. 1082–1087, 2004.
R. Slota, D. Nikolow, K. Skalkowski, J. Kitowski, MANAGEMENT OF DATA ACCESS WITH QUALITY OF SERVICE IN PL-GRID ENVIRONMENT, COMPUTING AND INFORMATICS 31 (2) (2012) 463-479.
D. Nikolow, R. Slota, D. Lakovic, P.Winiarczyk, M. Pogoda, J. Kitowski, Management methods in sla-aware distributed storage systems, Computer Science 13 (3) (2012) 35–44.
Mozy, http://mozy.com/ (last access 30th of June 2013)
iBard, http://www.ibard24.com/products/ibard24-backup-online (last access 30th of June 2013)
Msejf, http://www.msejf.pl (last access 30th of April 2013)
Asigra, http://www.asigra.com (last access 30th of June 2013)
Sejf Danych http://www.sejfdanych.pl (last access 30th of June 2013)
National Data Storage project, http://nds.psnc.pl (last access 10 January, 2013).
D. Nikolow, R. Słota, S. Polak, D. Mitera, M.Pogoda, P.Winiarczyk, J. Kitowski, Model of QoS Management in a Distributed Data Sharing and Archiving System, International Conference on Computational Science, ICCS 2013, Procedia Computer Science Volume 18, 2013, Pages 100–109
R. Słota, D. Król, K Skałkowski, M. Orzechowski, D. Nikolow, B. Kryza, M. Wrzeszcz, J. Kitowski, A TOOLKIT FOR STORAGE QOS PROVISIONING FOR DATA-INTENSIVE APPLICATIONS, Computer Science Journal, ISSN 1508-2806, vol. 14 (2) 2013.
W. Funika, F. Szura, DATA STORAGE MANAGEMENT USING AI METHODS, Computer Science Journal, ISSN 1508-2806, vol. 14 (2) 2013.
D.Król, W. Funika, R. Słota, J. Kitowski, SLA-ORIENTED SEMI-AUTOMATIC MANAGEMENT OF DATA STORAGE AND APPLICATIONS IN DISTRIBUTED ENVIRONMENTS, Computer Science Journal, ISSN 1508-2806, vol.11, 2010, pp. 37–50
D. Nikolow, R. Slota, and J. Kitowski, Grid Services for HSM Systems Monitoring, in: R. Wyrzykowski, J. Dongarra, K. Karczewski, and J. Wasniewski (Eds.), Pro-ceedings of 7-th International Conference, PPAM 2007, Gdansk, Poland, Septem-ber 2007, LNCS 4967, Springer 2008, pp.321-330.
L. Dutka, J. Kitowski, Stochastic Approach for Secondary Storage Data Access Cost, in: P.M.A. Sloot, A. G. Hoekstra, T. Priol, A. Reinefeld, M. Bubak (Eds.), Proc. of Advances in Grid Computing - EGC 2005 European Grid Conference Amsterdam, The Netherlands, February 14-16, 2005, Lecture Notes in Computer Science, no. 3470, Springer, 2005, pp. 796-804.